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https://issues.apache.org/jira/browse/SPARK-61243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61243.
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Resolution: Fixed
Issue resolved by pull request 421
[https://github.com/apache/spark-connect-rust/pull/421]
> Rust GroupedData sum/avg/min/max/mean ignore the numeric defaults and the
> NOT_NUMERIC_COLUMNS check
> ---------------------------------------------------------------------------------------------------
>
> Key: SPARK-61243
> URL: https://issues.apache.org/jira/browse/SPARK-61243
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> GroupedData::sum, avg, min, max and mean in the Rust client mapped the given
> column names straight to aggregate expressions. With no columns, sum(vec![])
> built an aggregate with no expressions and returned only the grouping
> columns. A non-numeric column went to the server unchecked. PySpark
> aggregates every numeric column when no column is given and raises
> NOT_NUMERIC_COLUMNS for a column that is not numeric. Repro:
> df.group_by(k).sum(vec![]) on a frame with int, long, double and string
> columns returns only k; PySpark returns k, sum(i), sum(l), sum(d).
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